pith:3TV4JFP4
Intent-aligned Autonomous Spacecraft Guidance via Reasoning Models
A spacecraft guidance framework uses intermediate behavior abstractions to align foundation model predictions with safe trajectory optimization.
arxiv:2604.17176 v2 · 2026-04-19 · eess.SY · cs.AI · cs.SY · math.OC
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\usepackage{pith}
\pithnumber{3TV4JFP4KM6TCCYSXSYCP66YRO}
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Record completeness
Claims
Numerical experiments in close-proximity operation scenarios demonstrate that the proposed pipeline achieves over 90% SCP convergence and yields a 1.5× higher rate of generating trajectories that satisfy the top intent-prioritized performance criteria than heuristic decision-making.
That the intermediate abstractions of behavior sequences and waypoint constraints can reliably translate high-level intent predictions into constraints that preserve both safety and intent alignment during optimization.
A pipeline links foundation-model intent reasoning to safe trajectory optimization via behavior sequences and waypoint constraints, achieving over 90% convergence and 1.5x better intent satisfaction in close-proximity tests.
Receipt and verification
| First computed | 2026-05-29T01:05:10.020971Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dcebc495fc533d310b12bcb027fbd88b8c1176cfbe8be86e7d0e045d1285afde
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3TV4JFP4KM6TCCYSXSYCP66YRO \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: dcebc495fc533d310b12bcb027fbd88b8c1176cfbe8be86e7d0e045d1285afde
Canonical record JSON
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